Artificial neural networks : ICANN 2008 : 18th international conference, Prague, Czech Republic, September 3-6, 2008 : proceedings

Table of Contents

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   Book Overview
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   Chapter 1 Dimension Reduction for Mixtures of Exponential Families
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   Chapter 2 Several Enhancements to Hermite-Based Approximation of One-Variable Functions
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   Chapter 3 Multi-category Bayesian Decision by Neural Networks
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   Chapter 4 Estimates of Network Complexity and Integral Representations
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   Chapter 5 Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios
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   Chapter 6 Generalization of Concave and Convex Decomposition in Kikuchi Free Energy
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   Chapter 7 Analysis of Chaotic Dynamics Using Measures of the Complex Network Theory
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   Chapter 8 Global Dynamics of Finite Cellular Automata
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    Chapter 9 Semi-supervised Learning of Tree-Structured RBF Networks Using Co-training
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    Chapter 10 A New Type of ART2 Architecture and Application to Color Image Segmentation
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    Chapter 11 BICA: A Boolean Indepenedent Component Analysis Approach
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    Chapter 12 Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization
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    Chapter 13 Manifold Construction Using the Multilayer Perceptron
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    Chapter 14 Improving Performance of a Binary Classifier by Training Set Selection
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    Chapter 15 An Overcomplete ICA Algorithm by InfoMax and InfoMin
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    Chapter 16 OP-ELM: Theory, Experiments and a Toolbox
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    Chapter 17 Robust Nonparametric Probability Density Estimation by Soft Clustering
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    Chapter 18 Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis
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    Chapter 19 Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation
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    Chapter 20 The Influence of the Risk Functional in Data Classification with MLPs
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    Chapter 21 Nonnegative Least Squares Learning for the Random Neural Network
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    Chapter 22 Sparse Bayes Machines for Binary Classification
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    Chapter 23 Tikhonov Regularization Parameter in Reproducing Kernel Hilbert Spaces with Respect to the Sensitivity of the Solution
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    Chapter 24 Mixture of Expert Used to Learn Game Play
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    Chapter 25 Unsupervised Bayesian Network Learning for Object Recognition in Image Sequences
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    Chapter 26 Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and Selection-Based Methods
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    Chapter 27 Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis
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    Chapter 28 A Comparative Study on Data Smoothing Regularization for Local Factor Analysis
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    Chapter 29 Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set
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    Chapter 30 New Results on Combination Methods for Boosting Ensembles
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    Chapter 31 Batch Support Vector Training Based on Exact Incremental Training
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    Chapter 32 A Kernel Method for the Optimization of the Margin Distribution
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    Chapter 33 A 4–Vector MDM Algorithm for Support Vector Training
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    Chapter 34 Implementation Issues of an Incremental and Decremental SVM
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    Chapter 35 Online Clustering of Non-stationary Data Using Incremental and Decremental SVM
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    Chapter 36 Support Vector Machines for Visualization and Dimensionality Reduction
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    Chapter 37 Multigrid Reinforcement Learning with Reward Shaping
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    Chapter 38 Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments
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    Chapter 39 Robust Population Coding in Free-Energy-Based Reinforcement Learning
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    Chapter 40 Policy Gradients with Parameter-Based Exploration for Control
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    Chapter 41 A Continuous Internal-State Controller for Partially Observable Markov Decision Processes
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    Chapter 42 Episodic Reinforcement Learning by Logistic Reward-Weighted Regression
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    Chapter 43 Error-Entropy Minimization for Dynamical Systems Modeling
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    Chapter 44 Hybrid Evolution of Heterogeneous Neural Networks
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    Chapter 45 Ant Colony Optimization with Castes
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    Chapter 46 Neural Network Ensembles for Classification Problems Using Multiobjective Genetic Algorithms
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    Chapter 47 Analysis of Vestibular-Ocular Reflex by Evolutionary Framework
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    Chapter 48 Fetal Weight Prediction Models: Standard Techniques or Computational Intelligence Methods?
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    Chapter 49 Evolutionary Canonical Particle Swarm Optimizer – A Proposal of Meta-optimization in Model Selection
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    Chapter 50 Building Localized Basis Function Networks Using Context Dependent Clustering
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    Chapter 51 Adaptation of Connectionist Weighted Fuzzy Logic Programs with Kripke-Kleene Semantics
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    Chapter 52 Neuro-fuzzy System for Road Signs Recognition
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    Chapter 53 Neuro-inspired Speech Recognition with Recurrent Spiking Neurons
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    Chapter 54 Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors
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    Chapter 55 Municipal Creditworthiness Modelling by Kohonen’s Self-Organizing Feature Maps and Fuzzy Logic Neural Networks
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    Chapter 56 Implementing Boolean Matrix Factorization
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    Chapter 57 Application of Potts-Model Perceptron for Binary Patterns Identification
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    Chapter 58 Using ARTMAP-Based Ensemble Systems Designed by Three Variants of Boosting
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    Chapter 59 Matrix Learning for Topographic Neural Maps
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    Chapter 60 Clustering Quality and Topology Preservation in Fast Learning SOMs
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    Chapter 61 Enhancing Topology Preservation during Neural Field Development Via Wiring Length Minimization
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    Chapter 62 Adaptive Translation: Finding Interlingual Mappings Using Self-Organizing Maps
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    Chapter 63 Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees
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    Chapter 64 Self-organized Complex Neural Networks through Nonlinear Temporally Asymmetric Hebbian Plasticity
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    Chapter 65 Temporal Hebbian Self-Organizing Map for Sequences
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    Chapter 66 FLSOM with Different Rates for Classification in Imbalanced Datasets
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    Chapter 67 A Self-organizing Neural System for Background and Foreground Modeling
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    Chapter 68 Analyzing the Behavior of the SOM through Wavelet Decomposition of Time Series Generated during Its Execution
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    Chapter 69 Decreasing Neighborhood Revisited in Self-Organizing Maps
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    Chapter 70 A New GHSOM Model Applied to Network Security
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    Chapter 71 Reduction of Visual Information in Neural Network Learning Visualization
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    Chapter 72 Heuristiscs-Based High-Level Strategy for Multi-agent Systems
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    Chapter 73 Echo State Networks for Online Prediction of Movement Data – Comparing Investigations
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    Chapter 74 Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem
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    Chapter 75 Modular Neural Networks for Model-Free Behavioral Learning
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    Chapter 76 From Exploration to Planning
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    Chapter 77 Sentence-Level Evaluation Using Co-occurences of N-Grams
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    Chapter 78 Identifying Single Source Data for Mixing Matrix Estimation in Instantaneous Blind Source Separation
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    Chapter 79 ECG Signal Classification Using GAME Neural Network and Its Comparison to Other Classifiers
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    Chapter 80 Predictive Modeling with Echo State Networks
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    Chapter 81 Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources
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    Chapter 82 Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time Series Prediction
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    Chapter 83 Stable Output Feedback in Reservoir Computing Using Ridge Regression
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    Chapter 84 Spatio-temporal Summarizing Method of Periodic Image Sequences with Kohonen Maps
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    Chapter 85 Image Classification by Histogram Features Created with Learning Vector Quantization
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    Chapter 86 A Statistical Model for Histogram Refinement
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    Chapter 87 Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach
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    Chapter 88 Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes
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    Chapter 89 A Spatio-temporal Extension of the SUSAN-Filter
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    Chapter 90 A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection
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    Chapter 91 A Hierarchic Method for Footprint Segmentation Based on SOM
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    Chapter 92 Co-occurrence Matrixes for the Quality Assessment of Coded Images
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    Chapter 93 Semantic Adaptation of Neural Network Classifiers in Image Segmentation
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    Chapter 94 Partially Monotone Networks Applied to Breast Cancer Detection on Mammograms
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    Chapter 95 A Neuro-fuzzy Approach to User Attention Recognition
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    Chapter 96 TriangleVision: A Toy Visual System
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    Chapter 97 Face Recognition with VG-RAM Weightless Neural Networks
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    Chapter 98 Invariant Object Recognition with Slow Feature Analysis
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     Chapter 99 Analysis-by-Synthesis by Learning to Invert Generative Black Boxes
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     Chapter 100 A Bio-inspired Connectionist Architecture for Visual Classification of Moving Objects
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     Chapter 101 A Visual Object Recognition System Invariant to Scale and Rotation
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     Chapter 102 Recognizing Facial Expressions: A Comparison of Computational Approaches
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     Chapter 103 A Probabilistic Prediction Method for Object Contour Tracking